DESCRIPTION

In the Data organization at Udemy, we’re passionate about transforming the future of education using data! We’re looking for fun, collaborative, self-motivated data scientists with an insatiable sense of curiosity and a knack for asking the right questions. The ideal candidate is an analytically creative thinker who is unafraid of ambiguity, has a track record of tackling difficult technical challenges, and has a pragmatic and relentless focus on driving meaningful business impact. We believe in building diverse teams, collaborative teams in which each person brings unique skills, knowledge, and experience to the table. If this opportunity sounds exciting to you, then read on!

For this posting, we are looking for a data scientist engineer to join the Experimentation Analysis group within the Product Analytics organization. Randomized controlled experiments are a key tool used to inform decision-making at Udemy. The Experimentation Analysis group is a centralized team that oversees experimentation methodology and adoption throughout the company. As a data science engineer within the Experimentation Analysis group, you will be partnering with data scientists to build and maintain the internal tools that power scalable experimentation analysis within the organization. Success in this role requires a combination of statistical expertise, fundamental engineering experience, and strong communication and collaboration skills.

RESPONSIBILITIES

• Partner with data scientists and software engineers to design and develop internal tools, libraries, and data pipelines for experimentation analysis

• Provide hands-on guidance and advocacy for engineering best practices within the Experimentation Analysis group

• Improve usability of experimentation analysis tooling through performance optimization, documentation, and tool refinement

• Collaborate with data scientists on the implementation of complex statistical routines needed to perform experiment analysis.

QUALIFICATIONS

• 3+ years of full-time experience with software engineering, data engineering, machine learning engineering, or equivalent

• Strong knowledge of algorithms and data structures, theoretical and applied statistics, and numerical linear algebra

• Proficiency with SQL and 1+ programming languages (e.g., Python or Java)

• Familiarity with distributed computing frameworks like Hadoop and Spark.

• Experience building automated big data pipelines using tools like Airflow, and dbt

• Experience in design, development, and maintenance of production software systems

• Self-driven, highly motivated, and able to learn quickly

• Ability to communicate effectively with non-technical stakeholders

• Willingness to collaborate with team members across time zones

PREFERRED BUT NOT REQUIRED

• Experience with machine learning operations

• Experience with front-end development frameworks (e.g., ReactJS)

LOCATIONS

• Remote, US

Minimum Salary Expectations: 122,000

ABOUT UDEMY

Udemy is the world’s largest education platform with more than 30 million monthly visitors. Through our Consumer and Enterprise businesses, Udemy creates new possibilities for people and organizations everywhere by connecting them to the knowledge and skills they need to succeed in a changing world. The Udemy consumer marketplace offers thousands of up-to-date courses in dozens of languages and provides the tools learners and instructors need to achieve their goals and reach their full potential. For companies, Udemy Business (UB) offers an employee training and development platform with subscription access to thousands of courses, learning analytics, as well as the ability to host and distribute their own content. Our enterprise platform is among the fastest growing SaaS businesses in the world. UB has more than 10,000 customers and serves the majority of the Fortune 100.

Udemy is headquartered in San Francisco with hubs in Ankara, Turkey; Austin, Texas; Boston, Massachusetts; Mountain View, California; Denver, Colorado; Dublin, Ireland; Melbourne, Australia; New Delhi, India; and Sao Paulo, Brazil.

At Udemy, we value diversity and inclusion and consider qualified applicants without regard to race, color, religion, sex, national origin, ancestry, age, genetic information, sexual orientation, gender identity, marital or family status, veteran status, medical condition or disability. We will consider for employment qualified applicants with arrest and conviction records.

UDEMY BENEFITS:

• ELIGIBILITY: Regular, full-time employees are eligible for Udemy’s benefit programs.

• HEALTH PLANS: Medical, dental, and vision coverage (100% coverage for employee-only).

• HSA/FSA/COMMUTER: Pre-tax savings/spending plans available; generous HSA employer contributions for those enrolled in the HDHP medical plan.

• LIFE/DISABILITY: Employer-paid life insurance (supplemental available), in addition to short-term and long-term disability.

• RETIREMENT: Access to 401(k) with annual employer contribution.

• WELLBEING: Corporate memberships for meditation and mindfulness, therapy and coaching, financial planning, primary care, tele-health, health advocacy, parent/newborn support, and employee discounts.

• EDUCATION: Free access to the entire course library on the Udemy and Udemy for Business platforms; annual stipend for external learning beginning at six months of employment.

• CHARITABLE MATCHING PROGRAM: Employer match of monetary contributions to eligible nonprofits and charities that carry a 501(c)(3) tax status.

• VACATION: 15 days per year of Paid Time Off for hourly; flexible Discretionary Time Off for salaried.

• PARENTAL LEAVE: 8 weeks of leave at 100% pay for parents who take time off from work following the date of birth, adoption, or foster placement beginning at six months of employment; this amount is in addition to pregnancy-disability benefits at 100% pay, if applicable.

• HOLIDAYS: 11 paid holidays throughout the year

Udemy is the leading global marketplace for learning and teaching online, where more than 50 million students learn from over 175,000 courses taught by expert instructors in 75+ languages. Whether learning for professional development or personal enrichment, students can master new skills through self-paced, on-demand courses.